Loss-calibrated expectation propagation for approximate Bayesian decision-making.
Michael J. MoraisJonathan W. PillowPublished in: CoRR (2022)
Keyphrases
- expectation propagation
- bayesian inference
- gaussian process
- gaussian process classification
- bayesian methods
- density estimation
- approximate inference
- automatic relevance determination
- marginal likelihood
- posterior distribution
- variational bayes
- probabilistic model
- latent variables
- graphical models
- gaussian processes
- hyperparameters
- belief propagation
- gaussian mixture model
- multi view
- learning algorithm
- prior distribution
- probability distribution
- message passing
- bayesian learning
- loopy belief propagation
- parameter estimation
- support vector